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Niusha Shafiabady

Showing results (1-10 of 13) with videos related to

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JMIR Research Protocols|May 24, 2023
V-CarE-A Conceptual Design Model for Providing COVID-19 Pandemic Awareness: Proposal for a Virtual Reality Design Approach to Facilitate People With Persistent Postural-Perceptual DizzinessSyed Fawad M Zaidi, Niusha Shafiabady, Shereen Afifi, et al.
JMIR Aging|October 7, 2022
Evolving Hybrid Partial Genetic Algorithm Classification Model for Cost-effective Frailty Screening: Investigative StudyJohn Oates, Niusha Shafiabady, Rachel Ambagtsheer, et al.
Nanomedicine : Nanotechnology, Biology, and Medicine|March 13, 2026
Nuclear-targeted CRISPR/Cas delivery by using aptamer-modified polymer lipid nanoparticlesZichen Xu, Mohammadreza Haghighat, Niusha Shafiabady, et al.
Psychopharmacology|October 13, 2018
Acute effects of methadone on EEG power spectrum and event-related potentials among heroin dependentsFarid Motlagh, Fatimah Ibrahim, Rusdi Rashid, et al.
Plos One|February 7, 2025
Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information systemShengtian Zhang, Yong Li, Xiaoxia Song, et al.
Plos One|April 24, 2024
eXplainable Artificial Intelligence (XAI) for improving organisational regilityNiusha Shafiabady, Nick Hadjinicolaou, Nadeesha Hettikankanamage, et al.
Plos One|May 10, 2023
Using Artificial Intelligence (AI) to predict organizational agilityNiusha Shafiabady, Nick Hadjinicolaou, Fareed Ud Din, et al.
Sensors (Basel, Switzerland)|November 13, 2025
eXplainable Artificial Intelligence (XAI): A Systematic Review for Unveiling the Black Box Models and Their Relevance to Biomedical Imaging and SensingNadeesha Hettikankanamage, Niusha Shafiabady, Fiona Chatteur, et al.
BMJ Health & Care Informatics|February 26, 2026
Explainable AI for mortality prediction: a comparative study using the MIMIC-III datasetNiusha Shafiabady, Dave Akume, Mohammadreza Haghighat, et al.
Scientific Reports|September 20, 2024
Comparative study of ten machine learning algorithms for short-term forecasting in gas warning systemsRobert M X Wu, Niusha Shafiabady, Huan Zhang, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
JMIR Research Protocols|May 24, 2023
V-CarE-A Conceptual Design Model for Providing COVID-19 Pandemic Awareness: Proposal for a Virtual Reality Design Approach to Facilitate People With Persistent Postural-Perceptual DizzinessSyed Fawad M Zaidi, Niusha Shafiabady, Shereen Afifi, et al.
JMIR Aging|October 7, 2022
Evolving Hybrid Partial Genetic Algorithm Classification Model for Cost-effective Frailty Screening: Investigative StudyJohn Oates, Niusha Shafiabady, Rachel Ambagtsheer, et al.
Nanomedicine : Nanotechnology, Biology, and Medicine|March 13, 2026
Nuclear-targeted CRISPR/Cas delivery by using aptamer-modified polymer lipid nanoparticlesZichen Xu, Mohammadreza Haghighat, Niusha Shafiabady, et al.
Psychopharmacology|October 13, 2018
Acute effects of methadone on EEG power spectrum and event-related potentials among heroin dependentsFarid Motlagh, Fatimah Ibrahim, Rusdi Rashid, et al.
Plos One|February 7, 2025
Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information systemShengtian Zhang, Yong Li, Xiaoxia Song, et al.
Plos One|April 24, 2024
eXplainable Artificial Intelligence (XAI) for improving organisational regilityNiusha Shafiabady, Nick Hadjinicolaou, Nadeesha Hettikankanamage, et al.
Plos One|May 10, 2023
Using Artificial Intelligence (AI) to predict organizational agilityNiusha Shafiabady, Nick Hadjinicolaou, Fareed Ud Din, et al.
Sensors (Basel, Switzerland)|November 13, 2025
eXplainable Artificial Intelligence (XAI): A Systematic Review for Unveiling the Black Box Models and Their Relevance to Biomedical Imaging and SensingNadeesha Hettikankanamage, Niusha Shafiabady, Fiona Chatteur, et al.
BMJ Health & Care Informatics|February 26, 2026
Explainable AI for mortality prediction: a comparative study using the MIMIC-III datasetNiusha Shafiabady, Dave Akume, Mohammadreza Haghighat, et al.
Scientific Reports|September 20, 2024
Comparative study of ten machine learning algorithms for short-term forecasting in gas warning systemsRobert M X Wu, Niusha Shafiabady, Huan Zhang, et al.
Pageof 2